Upload README.md

README.md

@@ -264,15 +264,9 @@ For large-scale downloading and filtering, please refer to the **How to Download
 <h2 id="data-splits" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">📊 Data Splits</h2>
 <div style="margin-left: 24px;">
 
-PhysInOne is divided into three primary splits: **Train**, **Val**, and **Test**.  
-
-- Train Split: contains 122,988 scenes.  
-- Validation Split: contains 15,411 scenes.  
-- Test Split: contains 15,411 scenes.  
-
-Each split is generated using **completely distinct 3D meshes, and backgrounds** to ensure that models cannot overfit to shared geometry or scene layout across splits. No scene is repeated between splits, and objects, lighting, and environment setups are independent for each split.  
-
-This design guarantees that training, validation, and test sets are fully separated in terms of visual content and scene composition, providing a robust benchmark for generalization and physical reasoning tasks.
+<p style="text-align: justify;">
+PhysInOne is divided into <strong>Train, Val, and Test</strong> splits, containing 122,988, 15,411, and 15,411 scenes, respectively. The three splits are generated with <strong>completely distinct 3D meshes and backgrounds</strong>, ensuring that no scene or visual content is shared across splits. This separation provides a robust benchmark for evaluating generalization and physical reasoning.
+</p>
 
 </div>
 
@@ -285,13 +279,6 @@ PhysInOne is distributed across multiple Hugging Face dataset repositories becau
 - `filter_cases.py`: parses the case-to-repository assignment file and exports selected cases to JSON.
 - `download.py`: downloads the selected case zip files from the corresponding Hugging Face shard repositories.
 
-The `filter_cases.py` script supports selection by:
-
-- Split: `train`, `val`, `test`
-- Activity complexity: `single`, `double`, `triple`
-- Physical phenomenon abbreviation: `MovingHitsFixed`, `FrictionStop`, `LiquidTension`, ..., `GranularFall`
-- Number of cases: globally sample `num` cases after filtering
-
 </div>
 
 <h3 id="download-scripts" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 24px;">1. Download Scripts</h3>
@@ -325,7 +312,14 @@ pip install huggingface_hub tqdm
 
 <div style="margin-left: 40px;">
 
-Export a JSON file containing case information matching your filter criteria, for use in subsequent download scripts. The following examples show common filtering workflows.
+Export a JSON file containing case information matching your filter criteria, for use in subsequent download scripts. The `filter_cases.py` script supports selection by:
+
+- Split: `train`, `val`, `test`
+- Activity complexity: `single`, `double`, `triple`
+- Physical phenomenon abbreviation: `MovingHitsFixed`, `FrictionStop`, `LiquidTension`, ..., `GranularFall`
+- Number of cases: globally sample `num` cases after filtering
+
+The following examples show common filtering workflows.
 
 </div>